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Elements and Performance Criteria

1. Perform data transition
   • Identify and document the data that is to be migrated, transferred or archived
   • Collect required data, target database requirements and implementation details
   • Clean up data to match new data structures and rules
   • Write and test conversion programs if required by the implementation plan, or use conversion tools
   • Ensure clean data take-on by re-keying or converting according to database requirements and conversion plan
   • Migrate data to target environment
   • Archive data according to requirements
2. Check data transition
   • Run reports and other tests on old and new data to verify the quantity and quality of data transition
   • Run production or specialised programs against data to confirm control totals
   • Check referential integrity and data constraints and requirements against database requirements and conversion plan
   • Verify that data transition has been completed according to requirements and plans

Required Skills

Required skills

analytical skills to analyse new data structures and their match to existing data

literacy skills to interpret and produce technical documentation

technical skills to

archive data

undertake lowlevel programming

use conversion tools

Required knowledge

detailed knowledge of

current industryaccepted hardware and software products including their general features and capabilities

new and existing systems current functionality

overview knowledge of

changemanagement systems when performing data transition and checking data integrity

database structures

quality assurance practices when checking data integrity

software tools

system data requirements

client business domain when checking data transition

clients data management and data security policy and procedures

Evidence Required

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge range statement and the Assessment Guidelines for the Training Package

Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit	Evidence of the ability to transfer data from one system to another produce consistency in results database verification and integrity and security of data use organisations recordkeeping arrangements and security and access level procedures demonstrate knowledge of data structures
Context of and specific resources for assessment	Assessment must ensure access to conversion program if necessary data conversion plan databases to store data implementation plan appropriate learning and assessment support when required modified equipment for people with special needs
Method of assessment	A range of assessment methods should be used to assess practical skills and knowledge The following examples are appropriate for this unit verbal or written questioning to assess candidates knowledge of data structures transition tools quality assurance system backup and restore procedures change management direct observation of candidate archiving data adjusting data to match new data structures review of reports generated by candidate that verify the data transition
Guidance information for assessment	Holistic assessment with other units relevant to the industry sector workplace and job role is recommended where appropriate Assessment processes and techniques must be culturally appropriate and suitable to the communication skill level language literacy and numeracy capacity of the candidate and the work being performed Indigenous people and other people from a nonEnglish speaking background may need additional support In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge

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Range Statement

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

Database may include:	commercial off-the-shelf (COTS) database packages object-relational databases proprietary databases relational databases.
Conversion tools may include:	data mart management tools tools for cleansing data, e.g. integrity, enterprise and integrator tools for extraction and transformation, e.g. ETI Extract, Passport, Warehouse Manager, InfoPump, InfoHub, InfoRefiner and InfoSuite tools that analyse data quality, e.g. QDB/Analyze, WizRule, and Unitech Systems Inc.

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